Model Comparison

DeepSeek R1 Distill Qwen 7B vs GPT OSS 20B

GPT OSS 20B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 7B outperforms in 0 benchmarks, while GPT OSS 20B is better at 1 benchmark (GPQA).

GPT OSS 20B significantly outperforms across most benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

13.3B diff

GPT OSS 20B has 13.3B more parameters than DeepSeek R1 Distill Qwen 7B, making it 174.3% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
OpenAI
GPT OSS 20B
20.9Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
20.9B
GPT OSS 20B

Context Window

Maximum input and output token capacity

Only GPT OSS 20B specifies input context (131,072 tokens). Only GPT OSS 20B specifies output context (32,768 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
OpenAI
GPT OSS 20B
Input131,072 tokens
Output32,768 tokens
Mon May 25 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B is licensed under MIT, while GPT OSS 20B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

GPT OSS 20B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while GPT OSS 20B was released on 2025-08-05.

GPT OSS 20B is 7 months newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.3 years ago

GPT OSS 20B

Aug 5, 2025

9 months ago

6mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

DeepSeek

No standout differentiators in the data we have for this pair.

OpenAI
Larger context window (131,072 tokens)
Higher GPQA score (71.5% vs 49.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 7B
OpenAI
GPT OSS 20B

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs GPT OSS 20B.

Which is better, DeepSeek R1 Distill Qwen 7B or GPT OSS 20B?

GPT OSS 20B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and GPT OSS 20B is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 7B compare to GPT OSS 20B in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and GPT OSS 20B?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and GPT OSS 20B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 7B and GPT OSS 20B?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 7B and GPT OSS 20B?

DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and GPT OSS 20B is developed by OpenAI.